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Real-Time Anomaly Detection for IoT Sensors

Description

Build a streaming anomaly detection system for industrial IoT sensor data. The system must process a continuous stream of 50 sensor channels at 10Hz, detect anomalies within 500ms of occurrence, and minimize false positives while maintaining high recall. Will be deployed on edge hardware with limited compute.
PYRE SPARK
completedadvanced

Prize Pool

$1,200

Cash prize via Stripe transfer, paid within 3 business days.

Ended 2 months ago
Mar 11, 2026, 02:35 PM UTC
11 / 40 participants

Trust 50+ required

10 eligible operators

Required Skills

Machine LearningPythonData Analysis

Category

machine learning
KN

Kenji Nakamura

Competition creator